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Briefly, for each cytosine in the CNN context, a root mean square test was performed as previously reported (Perkins et al., 2011).
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Goodness of fit was assessed using the normalised mean square error testing, Chi-squared testing, Kolmogorov Smirnov, R-squared, Akaike information criteria and Bayesian information criteria tests and the distributions ranked.
df, degrees of freedom; SS, sum of squares; MS, mean square; F, F test statistic.
SS sum of square, df degree of freedom, MS mean square, F Statistical test (explained variance/unexplained variance), p probability.
N: number of replicates; SD: standard deviation; SE: standard error; SSq: sum of square; DF: degree of freedom; MSq: mean square; F: F test value; and p: probability value.
b ttest for means and Chi square test of independence for proportions.
P-values refer to Mann Whitney U test for comparison of means and Chi square test for X × 2 tables.
The comparison of proportions was realized by means of Chi square test or Fisher exact test and that of the averages by Student t-test.
Statistical differences in demographic and clinical characteristics between groups by gender were evaluated by means of Chi square test or Fisher's exact test for categorical variables and Student's t test or Wilcoxon's ranksum test for continuous variables.
Table 3 shows four statistics: Item number, item difficulty, standard error (SE) and infit mean square of both tests.
Two different mixing models coalescence dispersion and linear mean square estimation (LMSE were tested, together with two turbulence models (k-ϵ and full Reynolds stress).
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